Assess data quality
Detect data discrepancies:
✓ invalid rows
✓ invalid, incoherent or missing values
✓ invalid rows
✓ invalid, incoherent or missing values
Understand data structure
✓ Combine visualizations
✓ Observe frequencies
✓ Reveal outliers
✓ Link multiple datasets
Discover patterns and anomalies
✓ Conduct investigations
✓ Validate hypothesis
✓ Discard noise and detect weak signals
Act with extra knowledge
✓ Remediate incidents
✓ Tune detection rules
✓ Create training datasets
✓ Export data subsets
